Bytt namn.

smartassist/src/backend.py

@@ -0,0 +1,57 @@
+
+# Import the necessary functions from ollama, Flask, requests, threading
+from ollama import Client
+from flask import Flask, request, jsonify
+#import requests
+#import threading
+
+# Initialize a Flask application
+app = Flask(__name__)
+
+def get_response(user_query):
+  # Create a client object for interacting with OLLAMA API
+    client = Client()
+
+    # Generate and retrieve the response based on user's query
+    response = client.generate_response(user_query)
+
+    # Return the generated response
+    return response
+
+def run_flask():
+    # Flask endpoint for user interaction
+    app.run(port=5000, debug=True)
+
+# def start_flask_as_thread():
+#     # Start the Flask app in a separate thread 
+#     threading.Thread(target=run_flask).start()    
+
+
+
+@app.route('/smartassist', methods=['POST'])
+def smartassist():
+    # Extract the query from the incoming JSON data
+    data = request.json
+    user_query = data['query']
+
+    # Get the response from the OLLAMA API based on the user's query
+    # NOTE: Should we append message history here? Maybe interact with SQLlite?
+    response = get_response(user_query)
+
+    # Return the response as a JSON object in the HTTP response
+    return jsonify({"response": response})
+
+
+@app.route('/api/chat', methods=['POST'])
+def chat():
+    data = request.get_json()
+    query = data['query']
+    response = requests.post('http://ollama-server/api/v1/chat', json={'prompt': query})
+    return jsonify({'response': response.json().get('result')})
+
+
+if __name__ == '__main__':
+    # Run the Flask application
+    run_flask()
+
+